Here's how to implement - and on top of this you can do the 3nf and warehouse, rather than building those on top of the data swamps of the last years. Here's the concept: Structured data lake, enabled by automating the transition of semi structured to structured. How about we solve it with technical tooling? It overlooks the lake and the Rockies, and has 76 feet of private shoreline, sleeping up to 10 in four bedrooms plus a loft. Structuring data is a technical issue, and we are solving it with architecture - this is just setting us up to waste a lot of time. This adorable lake house is a custom-built log home that sits on the banks of Shadow Mountain Lake, which is linked to Grand Lake on the west side of Rocky Mountain National Park. Isn't it time to do less of what didn't work and more of what did, instead of bundle both types of problems forward? Really the lakehouse is an architecture solves 2 things Would you still create a lakehouse if structuring data was not an issue?Īnd do you have any thoughts about automating the structuring of data? Lena was polite and waited until it was her turn for her cookie. This morning Jeb was impolite and grabbed his cookie out of Bill’s hands. Get your copy now so that you are prepared for success in AI, ML and data mesh.īill Inmon lives in Colorado with his wife and his two Scotty dogs – Jeb and Lena. The book – THE DATA LAKEHOUSE: THE BEDROCK FOUNDATION FOR AI, ML AND DATA MESH, Technics Publications is now available on. That book is the modern definition of the data lakehouse. ![]() There is now a book on the underlying foundation of data that provides that basis of believability. So exactly how do we create that underlying foundation of data that is believable? Exactly what does that foundation look like? We have to have that bedrock foundation in order for everything else to work. Stated differently, AI, ML and data mesh all depend on there being a foundation of accessible and believable data on which to operate. Then all the wonderful techniques and features of AI and ML start to crumble. And data mesh.Įveryday there is a new application promising wonderful new things.Īnd underneath AI, ML and data mesh is the underlying assumption that there is a foundation of data that is believable, complete and up to date.īut what if that foundation of data actually isn’t believable? Or complete? Or up to date? THE DATA LAKEHOUSE: THE BEDROCK FOR AI, ML AND DATA MESHĮverywhere you look you find people eagerly embracing AI.
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